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@YANG-H
YANG-H committed Dec 15, 2021
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14 changes: 7 additions & 7 deletions README.md
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Expand Up @@ -41,13 +41,13 @@ python -m blueprint.run farl/experiments/{task}/{train_config_file}.yaml --exp_n

The repo has included some config files under `./farl/experiments/train_*` that perform finetuning for face parsing and face alignment:

| File Name | Task | Benchmark |
| ---- | ---- | ---- |
| face_parsing/train_celebm_farl-b-ep16-448_refinebb.yaml | Face Parsing | CelebAMask-HQ |
| face_parsing/train_lapa_farl-b-ep16_448_refinebb.yaml | Face Parsing | LaPa |
| face_alignment/train_aflw19_farl-b-ep16_448_refinebb.yaml | Face Alignment | AFLW-19 |
| face_alignment/train_ibug300w_farl-b-ep16_448_refinebb.yaml | Face Alignment | 300W |
| face_alignment/train_wflw_farl-b-ep16_448_refinebb.yaml | Face Alignment | WFLW |
| File Name | Task | Benchmark | Score (%) | Log |
| ---- | ---- | ---- | --- | --- |
| face_parsing/train_celebm_farl-b-ep16-448_refinebb.yaml | Face Parsing | CelebAMask-HQ | F1-mean=89.56 | [Path](./logs/face_parsing.train_celebm_farl-b-ep16-448_refinebb) |
| face_parsing/train_lapa_farl-b-ep16_448_refinebb.yaml | Face Parsing | LaPa | F1-mean=93.88 | [Path](./logs/face_parsing.train_lapa_farl-b-ep16_448_refinebb) |
| face_alignment/train_aflw19_farl-b-ep16_448_refinebb.yaml | Face Alignment | AFLW-19 | NME_diag (Full)=0.943 | [Path](./logs/face_alignment.train_aflw19_farl-b-ep16_448_refinebb) |
| face_alignment/train_ibug300w_farl-b-ep16_448_refinebb.yaml | Face Alignment | 300W | NME_inter-ocular (Full)=2.93 | [Path](./logs/face_alignment.train_ibug300w_farl-b-ep16_448_refinebb) |
| face_alignment/train_wflw_farl-b-ep16_448_refinebb.yaml | Face Alignment | WFLW | NME_inter-ocular (Full)=3.96 | [Path](./logs/face_alignment.train_wflw_farl-b-ep16_448_refinebb) |

Note that due to code refactorization, the evaluation scores might not be exactly the same with those reported in our paper, but should be at least comparable.

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5 changes: 2 additions & 3 deletions farl/experiments/face_alignment/trainers/aflw19_farl.yaml
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Expand Up @@ -6,7 +6,6 @@
# batch_size,
# model_type, model_name, epoch,
# input_resolution, head_channel,
# [with_tail],
# optimizer_name, [lr_factor], enable_amp

package: farl.experiments.face_alignment
Expand Down Expand Up @@ -42,7 +41,7 @@ eval_dataprocessors:

networks:
main:
$PARSE('../networks/farl_with_tail.yaml' if ARGS.get('with_tail', False) else '../networks/farl.yaml',
$PARSE('../networks/farl.yaml',
model_type=ARGS['model_type'],
model_name=ARGS['model_name'],
epoch=ARGS['epoch'],
Expand Down Expand Up @@ -82,6 +81,6 @@ logger:
- class: blueprint.ml.TensorBoardLogger

enable_amp: $$enable_amp
max_epoches: 50
max_epoches: 150
states_save_interval: 5
eval_interval: 1
3 changes: 1 addition & 2 deletions farl/experiments/face_alignment/trainers/wflw_farl.yaml
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Expand Up @@ -101,7 +101,6 @@ logger:
- class: blueprint.ml.TensorBoardLogger

enable_amp: $$enable_amp
max_epoches: 300
max_epoches: 150
states_save_interval: 20
# states_save_extra_steps: [0]
eval_interval: 1
151 changes: 151 additions & 0 deletions logs/face_alignment.train_aflw19_farl-b-ep16_448_refinebb/eval.aflw19_test_0.tsv
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151 changes: 151 additions & 0 deletions logs/face_alignment.train_aflw19_farl-b-ep16_448_refinebb/eval.aflw19_test_frontal_0.tsv
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251 changes: 251 additions & 0 deletions ...ce_alignment.train_ibug300w_farl-b-ep16_448_refinebb/eval.ibug300w_test_challenging_0.tsv
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global_step epoch inter_ocular inter_pupil
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